Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	85855
Missing cells	101139
Missing cells (%)	5.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.4 MiB
Average record size in memory	176.0 B

Variable types

Categorical	13
Numeric	9

Alerts

`imdb_title_id` has a high cardinality: 85855 distinct values	High cardinality
`title` has a high cardinality: 82094 distinct values	High cardinality
`original_title` has a high cardinality: 80852 distinct values	High cardinality
`year` has a high cardinality: 113 distinct values	High cardinality
`date_published` has a high cardinality: 22012 distinct values	High cardinality
`genre` has a high cardinality: 1257 distinct values	High cardinality
`country` has a high cardinality: 4907 distinct values	High cardinality
`language` has a high cardinality: 4377 distinct values	High cardinality
`director` has a high cardinality: 34733 distinct values	High cardinality
`writer` has a high cardinality: 66859 distinct values	High cardinality
`production_company` has a high cardinality: 32050 distinct values	High cardinality
`actors` has a high cardinality: 85729 distinct values	High cardinality
`description` has a high cardinality: 83611 distinct values	High cardinality
`avg_vote` is highly correlated with `metascore`	High correlation
`votes` is highly correlated with `usa_gross_income` and 2 other fields	High correlation
`usa_gross_income` is highly correlated with `votes` and 3 other fields	High correlation
`worlwide_gross_income` is highly correlated with `usa_gross_income` and 2 other fields	High correlation
`metascore` is highly correlated with `avg_vote`	High correlation
`reviews_from_users` is highly correlated with `votes` and 3 other fields	High correlation
`reviews_from_critics` is highly correlated with `votes` and 3 other fields	High correlation
`writer` has 1572 (1.8%) missing values	Missing
`production_company` has 4455 (5.2%) missing values	Missing
`description` has 2115 (2.5%) missing values	Missing
`metascore` has 72550 (84.5%) missing values	Missing
`reviews_from_users` has 7597 (8.8%) missing values	Missing
`reviews_from_critics` has 11797 (13.7%) missing values	Missing
`budget` is highly skewed (γ1 = 176.1867109)	Skewed
`imdb_title_id` is uniformly distributed	Uniform
`title` is uniformly distributed	Uniform
`original_title` is uniformly distributed	Uniform
`writer` is uniformly distributed	Uniform
`actors` is uniformly distributed	Uniform
`description` is uniformly distributed	Uniform
`imdb_title_id` has unique values	Unique
`budget` has 62179 (72.4%) zeros	Zeros
`usa_gross_income` has 70529 (82.1%) zeros	Zeros
`worlwide_gross_income` has 54839 (63.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-04 13:34:33.347704
Analysis finished	2022-10-04 13:35:30.392595
Duration	57.04 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

imdb_title_id
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	85855
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

tt0000009	1
tt1347008	1
tt1347006	1
tt1346973	1
tt1346961	1
Other values (85850)	85850

Length

Max length	10
Median length	9
Mean length	9.011659193
Min length	9

Characters and Unicode

Total characters	773696
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85855 ?
Unique (%)	100.0%

Sample

1st row	tt0000009
2nd row	tt0000574
3rd row	tt0001892
4th row	tt0002101
5th row	tt0002130

Common Values

Value	Count	Frequency (%)
tt0000009	1	< 0.1%
tt1347008	1	< 0.1%
tt1347006	1	< 0.1%
tt1346973	1	< 0.1%
tt1346961	1	< 0.1%
tt1346850	1	< 0.1%
tt1346629	1	< 0.1%
tt1346302	1	< 0.1%
tt1346281	1	< 0.1%
tt1345904	1	< 0.1%
Other values (85845)	85845	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt0000009	1	< 0.1%
tt0003637	1	< 0.1%
tt0001892	1	< 0.1%
tt0002101	1	< 0.1%
tt0002130	1	< 0.1%
tt0002199	1	< 0.1%
tt0002423	1	< 0.1%
tt0002445	1	< 0.1%
tt0002452	1	< 0.1%
tt0002461	1	< 0.1%
Other values (85845)	85845	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
t	171710	22.2%
0	126521	16.4%
1	66918	8.6%
2	59104	7.6%
4	55377	7.2%
3	52321	6.8%
6	51167	6.6%
8	50723	6.6%
5	47360	6.1%
7	46862	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	601986	77.8%
Lowercase Letter	171710	22.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	126521	21.0%
1	66918	11.1%
2	59104	9.8%
4	55377	9.2%
3	52321	8.7%
6	51167	8.5%
8	50723	8.4%
5	47360	7.9%
7	46862	7.8%
9	45633	7.6%

Lowercase Letter

Value	Count	Frequency (%)
t	171710	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	601986	77.8%
Latin	171710	22.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	126521	21.0%
1	66918	11.1%
2	59104	9.8%
4	55377	9.2%
3	52321	8.7%
6	51167	8.5%
8	50723	8.4%
5	47360	7.9%
7	46862	7.8%
9	45633	7.6%

Latin

Value	Count	Frequency (%)
t	171710	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	773696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	171710	22.2%
0	126521	16.4%
1	66918	8.6%
2	59104	7.6%
4	55377	7.2%
3	52321	6.8%
6	51167	6.6%
8	50723	6.6%
5	47360	6.1%
7	46862	6.1%

title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	82094
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

Anna	10
Darling	8
Wanted	7
Vendetta	7
Lucky	7
Other values (82089)	85816

Length

Max length	196
Median length	84
Mean length	16.9734203
Min length	1

Characters and Unicode

Total characters	1457253
Distinct characters	153
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79153 ?
Unique (%)	92.2%

Sample

1st row	Miss Jerry
2nd row	The Story of the Kelly Gang
3rd row	Den sorte drøm
4th row	Cleopatra
5th row	L'Inferno

Common Values

Value	Count	Frequency (%)
Anna	10	< 0.1%
Darling	8	< 0.1%
Wanted	7	< 0.1%
Vendetta	7	< 0.1%
Lucky	7	< 0.1%
I miserabili	7	< 0.1%
Solo	7	< 0.1%
Maya	7	< 0.1%
Aurora	7	< 0.1%
Alone	7	< 0.1%
Other values (82084)	85781	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	7894	3.1%
la	5049	2.0%
il	4206	1.6%
	4017	1.6%
di	3611	1.4%
of	2435	1.0%
a	2428	0.9%
del	1849	0.7%
in	1807	0.7%
i	1781	0.7%
Other values (61622)	220536	86.3%

Most occurring characters

Value	Count	Frequency (%)
	169758	11.6%
a	131288	9.0%
e	128227	8.8%
i	100977	6.9%
o	94336	6.5%
n	81397	5.6%
r	75148	5.2%
t	63652	4.4%
l	63426	4.4%
s	54820	3.8%
Other values (143)	494224	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1102498	75.7%
Space Separator	169758	11.6%
Uppercase Letter	154170	10.6%
Other Punctuation	17654	1.2%
Decimal Number	6852	0.5%
Dash Punctuation	5736	0.4%
Close Punctuation	219	< 0.1%
Open Punctuation	217	< 0.1%
Math Symbol	55	< 0.1%
Other Letter	28	< 0.1%
Other values (6)	66	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	131288	11.9%
e	128227	11.6%
i	100977	9.2%
o	94336	8.6%
n	81397	7.4%
r	75148	6.8%
t	63652	5.8%
l	63426	5.8%
s	54820	5.0%
d	40255	3.7%
Other values (47)	268972	24.4%

Uppercase Letter

Value	Count	Frequency (%)
S	13274	8.6%
L	12911	8.4%
T	12497	8.1%
M	9848	6.4%
A	9117	5.9%
B	9042	5.9%
I	8703	5.6%
D	8540	5.5%
C	8444	5.5%
P	7100	4.6%
Other values (37)	54694	35.5%

Other Punctuation

Value	Count	Frequency (%)
'	6081	34.4%
.	3927	22.2%
:	3108	17.6%
,	1949	11.0%
!	1290	7.3%
&	611	3.5%
?	426	2.4%
/	120	0.7%
#	36	0.2%
¡	27	0.2%
Other values (7)	79	0.4%

Decimal Number

Value	Count	Frequency (%)
2	1573	23.0%
1	1094	16.0%
0	1069	15.6%
3	852	12.4%
4	456	6.7%
9	428	6.2%
7	414	6.0%
5	408	6.0%
6	289	4.2%
8	269	3.9%

Math Symbol

Value	Count	Frequency (%)
+	39	70.9%
=	10	18.2%
~	4	7.3%
×	2	3.6%

Other Number

Value	Count	Frequency (%)
½	8	53.3%
²	4	26.7%
³	2	13.3%
¼	1	6.7%

Close Punctuation

Value	Count	Frequency (%)
)	212	96.8%
]	7	3.2%

Open Punctuation

Value	Count	Frequency (%)
(	210	96.8%
[	7	3.2%

Other Letter

Value	Count	Frequency (%)
ª	18	64.3%
º	10	35.7%

Currency Symbol

Value	Count	Frequency (%)
$	12	92.3%
£	1	7.7%

Space Separator

Value	Count	Frequency (%)
	169758	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5736	100.0%

Other Symbol

Value	Count	Frequency (%)
°	25	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	9	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1256696	86.2%
Common	200557	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	131288	10.4%
e	128227	10.2%
i	100977	8.0%
o	94336	7.5%
n	81397	6.5%
r	75148	6.0%
t	63652	5.1%
l	63426	5.0%
s	54820	4.4%
d	40255	3.2%
Other values (96)	423170	33.7%

Common

Value	Count	Frequency (%)
	169758	84.6%
'	6081	3.0%
-	5736	2.9%
.	3927	2.0%
:	3108	1.5%
,	1949	1.0%
2	1573	0.8%
!	1290	0.6%
1	1094	0.5%
0	1069	0.5%
Other values (37)	4972	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1447863	99.4%
None	9390	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	169758	11.7%
a	131288	9.1%
e	128227	8.9%
i	100977	7.0%
o	94336	6.5%
n	81397	5.6%
r	75148	5.2%
t	63652	4.4%
l	63426	4.4%
s	54820	3.8%
Other values (77)	484834	33.5%

None

Value	Count	Frequency (%)
é	1055	11.2%
à	798	8.5%
ô	727	7.7%
è	685	7.3%
ä	636	6.8%
á	619	6.6%
ü	558	5.9%
í	454	4.8%
ö	442	4.7%
ó	421	4.5%
Other values (56)	2995	31.9%

original_title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	80852
Distinct (%)	94.2%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

Anna	10
Home	8
The Three Musketeers	8
Darling	8
Solo	8
Other values (80847)	85813

Length

Max length	196
Median length	92
Mean length	15.72144895
Min length	1

Characters and Unicode

Total characters	1349765
Distinct characters	155
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	77123 ?
Unique (%)	89.8%

Sample

1st row	Miss Jerry
2nd row	The Story of the Kelly Gang
3rd row	Den sorte drøm
4th row	Cleopatra
5th row	L'Inferno

Common Values

Value	Count	Frequency (%)
Anna	10	< 0.1%
Home	8	< 0.1%
The Three Musketeers	8	< 0.1%
Darling	8	< 0.1%
Solo	8	< 0.1%
Inferno	8	< 0.1%
Wanted	8	< 0.1%
Blackout	7	< 0.1%
Eden	7	< 0.1%
Maya	7	< 0.1%
Other values (80842)	85776	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	13614	5.7%
of	4287	1.8%
a	2439	1.0%
la	2198	0.9%
de	1844	0.8%
in	1749	0.7%
	1418	0.6%
no	1318	0.6%
and	1302	0.5%
to	1300	0.5%
Other values (62416)	207330	86.8%

Most occurring characters

Value	Count	Frequency (%)
	152944	11.3%
e	125860	9.3%
a	110153	8.2%
i	80503	6.0%
o	79650	5.9%
n	77197	5.7%
r	68591	5.1%
t	58303	4.3%
s	53884	4.0%
l	47826	3.5%
Other values (145)	494854	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	998494	74.0%
Uppercase Letter	172343	12.8%
Space Separator	152944	11.3%
Other Punctuation	15560	1.2%
Decimal Number	6391	0.5%
Dash Punctuation	3543	0.3%
Close Punctuation	190	< 0.1%
Open Punctuation	188	< 0.1%
Math Symbol	56	< 0.1%
Currency Symbol	21	< 0.1%
Other values (6)	35	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	125860	12.6%
a	110153	11.0%
i	80503	8.1%
o	79650	8.0%
n	77197	7.7%
r	68591	6.9%
t	58303	5.8%
s	53884	5.4%
l	47826	4.8%
h	41552	4.2%
Other values (47)	254975	25.5%

Uppercase Letter

Value	Count	Frequency (%)
T	17828	10.3%
S	15405	8.9%
M	11837	6.9%
B	10896	6.3%
L	10420	6.0%
D	10239	5.9%
A	9828	5.7%
C	9395	5.5%
P	7673	4.5%
H	7650	4.4%
Other values (37)	61172	35.5%

Other Punctuation

Value	Count	Frequency (%)
'	4113	26.4%
:	3563	22.9%
.	3409	21.9%
,	1901	12.2%
!	1248	8.0%
&	635	4.1%
?	397	2.6%
/	127	0.8%
#	36	0.2%
¡	34	0.2%
Other values (8)	97	0.6%

Decimal Number

Value	Count	Frequency (%)
2	1471	23.0%
1	1075	16.8%
0	959	15.0%
3	829	13.0%
4	398	6.2%
9	397	6.2%
5	365	5.7%
7	359	5.6%
6	275	4.3%
8	263	4.1%

Math Symbol

Value	Count	Frequency (%)
+	39	69.6%
=	9	16.1%
~	6	10.7%
×	2	3.6%

Currency Symbol

Value	Count	Frequency (%)
$	18	85.7%
¢	2	9.5%
£	1	4.8%

Other Number

Value	Count	Frequency (%)
½	8	61.5%
²	3	23.1%
³	2	15.4%

Close Punctuation

Value	Count	Frequency (%)
)	180	94.7%
]	10	5.3%

Open Punctuation

Value	Count	Frequency (%)
(	178	94.7%
[	10	5.3%

Other Symbol

Value	Count	Frequency (%)
°	10	90.9%
®	1	9.1%

Other Letter

Value	Count	Frequency (%)
ª	3	75.0%
º	1	25.0%

Space Separator

Value	Count	Frequency (%)
	152944	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3543	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1170841	86.7%
Common	178924	13.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	125860	10.7%
a	110153	9.4%
i	80503	6.9%
o	79650	6.8%
n	77197	6.6%
r	68591	5.9%
t	58303	5.0%
s	53884	4.6%
l	47826	4.1%
h	41552	3.5%
Other values (96)	427322	36.5%

Common

Value	Count	Frequency (%)
	152944	85.5%
'	4113	2.3%
:	3563	2.0%
-	3543	2.0%
.	3409	1.9%
,	1901	1.1%
2	1471	0.8%
!	1248	0.7%
1	1075	0.6%
0	959	0.5%
Other values (39)	4698	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1339467	99.2%
None	10298	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	152944	11.4%
e	125860	9.4%
a	110153	8.2%
i	80503	6.0%
o	79650	5.9%
n	77197	5.8%
r	68591	5.1%
t	58303	4.4%
s	53884	4.0%
l	47826	3.6%
Other values (77)	484556	36.2%

None

Value	Count	Frequency (%)
é	1535	14.9%
ô	1106	10.7%
ä	789	7.7%
á	728	7.1%
ü	670	6.5%
í	535	5.2%
ö	530	5.1%
ó	499	4.8%
è	455	4.4%
û	328	3.2%
Other values (58)	3123	30.3%

year
Categorical

HIGH CARDINALITY

Distinct	113
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

2017	3329
2018	3257
2016	3138
2015	2977
2014	2942
Other values (108)	70212

Length

Max length	13
Median length	4
Mean length	4.000104828
Min length	4

Characters and Unicode

Total characters	343429
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	1894
2nd row	1906
3rd row	1911
4th row	1912
5th row	1911

Common Values

Value	Count	Frequency (%)
2017	3329	3.9%
2018	3257	3.8%
2016	3138	3.7%
2015	2977	3.5%
2014	2942	3.4%
2019	2841	3.3%
2013	2783	3.2%
2012	2560	3.0%
2011	2429	2.8%
2009	2298	2.7%
Other values (103)	57301	66.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017	3329	3.9%
2018	3257	3.8%
2016	3138	3.7%
2015	2977	3.5%
2014	2942	3.4%
2019	2842	3.3%
2013	2783	3.2%
2012	2560	3.0%
2011	2429	2.8%
2009	2298	2.7%
Other values (104)	57302	66.7%

Most occurring characters

Value	Count	Frequency (%)
1	74835	21.8%
0	72686	21.2%
9	58164	16.9%
2	56117	16.3%
8	17090	5.0%
7	15889	4.6%
6	14146	4.1%
5	12623	3.7%
4	11258	3.3%
3	10612	3.1%
Other values (8)	9	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	343420	> 99.9%
Lowercase Letter	4	< 0.1%
Uppercase Letter	3	< 0.1%
Space Separator	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	74835	21.8%
0	72686	21.2%
9	58164	16.9%
2	56117	16.3%
8	17090	5.0%
7	15889	4.6%
6	14146	4.1%
5	12623	3.7%
4	11258	3.3%
3	10612	3.1%

Lowercase Letter

Value	Count	Frequency (%)
o	1	25.0%
v	1	25.0%
i	1	25.0%
e	1	25.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1	33.3%
V	1	33.3%
M	1	33.3%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	343422	> 99.9%
Latin	7	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	74835	21.8%
0	72686	21.2%
9	58164	16.9%
2	56117	16.3%
8	17090	5.0%
7	15889	4.6%
6	14146	4.1%
5	12623	3.7%
4	11258	3.3%
3	10612	3.1%

Latin

Value	Count	Frequency (%)
T	1	14.3%
V	1	14.3%
M	1	14.3%
o	1	14.3%
v	1	14.3%
i	1	14.3%
e	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	343429	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	74835	21.8%
0	72686	21.2%
9	58164	16.9%
2	56117	16.3%
8	17090	5.0%
7	15889	4.6%
6	14146	4.1%
5	12623	3.7%
4	11258	3.3%
3	10612	3.1%
Other values (8)	9	< 0.1%

date_published
Categorical

HIGH CARDINALITY

Distinct	22012
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

2010	113
2008	106
1997	100
1999	99
2009	96
Other values (22007)	85341

Length

Max length	13
Median length	10
Mean length	9.681218333
Min length	4

Characters and Unicode

Total characters	831181
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8693 ?
Unique (%)	10.1%

Sample

1st row	1894-10-09
2nd row	1906-12-26
3rd row	1911-08-19
4th row	1912-11-13
5th row	1911-03-06

Common Values

Value	Count	Frequency (%)
2010	113	0.1%
2008	106	0.1%
1997	100	0.1%
1999	99	0.1%
2009	96	0.1%
1985	91	0.1%
1996	90	0.1%
1975	88	0.1%
2011	88	0.1%
1983	87	0.1%
Other values (22002)	84897	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2010	113	0.1%
2008	106	0.1%
1997	100	0.1%
1999	99	0.1%
2009	96	0.1%
1985	91	0.1%
1996	90	0.1%
1975	88	0.1%
2011	88	0.1%
1983	87	0.1%
Other values (22003)	84899	98.9%

Most occurring characters

Value	Count	Frequency (%)
0	175452	21.1%
-	162584	19.6%
1	149685	18.0%
2	102736	12.4%
9	72450	8.7%
8	30994	3.7%
3	29311	3.5%
7	28518	3.4%
6	27158	3.3%
5	26751	3.2%
Other values (9)	25542	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	668588	80.4%
Dash Punctuation	162584	19.6%
Lowercase Letter	4	< 0.1%
Uppercase Letter	3	< 0.1%
Space Separator	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	175452	26.2%
1	149685	22.4%
2	102736	15.4%
9	72450	10.8%
8	30994	4.6%
3	29311	4.4%
7	28518	4.3%
6	27158	4.1%
5	26751	4.0%
4	25533	3.8%

Lowercase Letter

Value	Count	Frequency (%)
o	1	25.0%
v	1	25.0%
i	1	25.0%
e	1	25.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1	33.3%
V	1	33.3%
M	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	162584	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	831174	> 99.9%
Latin	7	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	175452	21.1%
-	162584	19.6%
1	149685	18.0%
2	102736	12.4%
9	72450	8.7%
8	30994	3.7%
3	29311	3.5%
7	28518	3.4%
6	27158	3.3%
5	26751	3.2%
Other values (2)	25535	3.1%

Latin

Value	Count	Frequency (%)
T	1	14.3%
V	1	14.3%
M	1	14.3%
o	1	14.3%
v	1	14.3%
i	1	14.3%
e	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	831181	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	175452	21.1%
-	162584	19.6%
1	149685	18.0%
2	102736	12.4%
9	72450	8.7%
8	30994	3.7%
3	29311	3.5%
7	28518	3.4%
6	27158	3.3%
5	26751	3.2%
Other values (9)	25542	3.1%

genre
Categorical

HIGH CARDINALITY

Distinct	1257
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	670.9 KiB

Drama	12543
Comedy	7693
Comedy, Drama	4039
Drama, Romance	3455
Comedy, Romance	2508
Other values (1252)	55617

Length

Max length	31
Median length	26
Mean length	14.64983985
Min length	3

Characters and Unicode

Total characters	1257762
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	385 ?
Unique (%)	0.4%

Sample

1st row	Romance
2nd row	Biography, Crime, Drama
3rd row	Drama
4th row	Drama, History
5th row	Adventure, Drama, Fantasy

Common Values

Value	Count	Frequency (%)
Drama	12543	14.6%
Comedy	7693	9.0%
Comedy, Drama	4039	4.7%
Drama, Romance	3455	4.0%
Comedy, Romance	2508	2.9%
Comedy, Drama, Romance	2293	2.7%
Horror	2268	2.6%
Drama, Thriller	1348	1.6%
Crime, Drama	1343	1.6%
Action, Crime, Drama	1310	1.5%
Other values (1247)	47055	54.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	47110	26.8%
comedy	29368	16.7%
romance	14128	8.0%
action	12948	7.4%
thriller	11388	6.5%
crime	11067	6.3%
horror	9557	5.4%
adventure	7590	4.3%
mystery	5225	3.0%
family	3962	2.3%
Other values (15)	23524	13.4%

Most occurring characters

Value	Count	Frequency (%)
r	132666	10.5%
a	128740	10.2%
m	108441	8.6%
,	90012	7.2%
	90012	7.2%
e	89528	7.1%
o	84101	6.7%
i	60595	4.8%
y	52270	4.2%
D	47112	3.7%
Other values (25)	374285	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	893320	71.0%
Uppercase Letter	180144	14.3%
Other Punctuation	90012	7.2%
Space Separator	90012	7.2%
Dash Punctuation	4274	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	132666	14.9%
a	128740	14.4%
m	108441	12.1%
e	89528	10.0%
o	84101	9.4%
i	60595	6.8%
y	52270	5.9%
n	44345	5.0%
d	36960	4.1%
t	36666	4.1%
Other values (9)	119008	13.3%

Uppercase Letter

Value	Count	Frequency (%)
D	47112	26.2%
C	40435	22.4%
A	22681	12.6%
R	14131	7.8%
F	12045	6.7%
H	11853	6.6%
T	11391	6.3%
M	8955	5.0%
S	4672	2.6%
W	3825	2.1%
Other values (3)	3044	1.7%

Other Punctuation

Value	Count	Frequency (%)
,	90012	100.0%

Space Separator

Value	Count	Frequency (%)
	90012	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4274	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1073464	85.3%
Common	184298	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	132666	12.4%
a	128740	12.0%
m	108441	10.1%
e	89528	8.3%
o	84101	7.8%
i	60595	5.6%
y	52270	4.9%
D	47112	4.4%
n	44345	4.1%
C	40435	3.8%
Other values (22)	285231	26.6%

Common

Value	Count	Frequency (%)
,	90012	48.8%
	90012	48.8%
-	4274	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1257762	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	132666	10.5%
a	128740	10.2%
m	108441	8.6%
,	90012	7.2%
	90012	7.2%
e	89528	7.1%
o	84101	6.7%
i	60595	4.8%
y	52270	4.2%
D	47112	3.7%
Other values (25)	374285	29.8%

duration
Real number (ℝ_≥0)

Distinct	266
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.3514181

Minimum	41
Maximum	808
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	41
5-th percentile	73
Q1	88
median	96
Q3	108
95-th percentile	142
Maximum	808
Range	767
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	22.55384799
Coefficient of variation (CV)	0.2247486724
Kurtosis	40.30157626
Mean	100.3514181
Median Absolute Deviation (MAD)	10
Skewness	3.079705205
Sum	8615671
Variance	508.6760589
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	5162	6.0%
95	3194	3.7%
100	3106	3.6%
92	2418	2.8%
93	2414	2.8%
85	2308	2.7%
88	2228	2.6%
94	2193	2.6%
96	2177	2.5%
91	2132	2.5%
Other values (256)	58523	68.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41	1	< 0.1%
42	1	< 0.1%
43	1	< 0.1%
44	1	< 0.1%
45	62	0.1%
46	26	< 0.1%
47	26	< 0.1%
48	36	< 0.1%
49	19	< 0.1%
50	72	0.1%

Value	Count	Frequency (%)
808	1	< 0.1%
729	1	< 0.1%
580	1	< 0.1%
570	1	< 0.1%
540	3	< 0.1%
485	1	< 0.1%
450	1	< 0.1%
442	1	< 0.1%
439	1	< 0.1%
421	1	< 0.1%

country
Categorical

HIGH CARDINALITY

Distinct	4907
Distinct (%)	5.7%
Missing	64
Missing (%)	0.1%
Memory size	670.9 KiB

USA	28511
India	6065
UK	4111
Japan	3077
France	3055
Other values (4902)	40972

Length

Max length	225
Median length	110
Mean length	7.24057302
Min length	2

Characters and Unicode

Total characters	621176
Distinct characters	58
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3614 ?
Unique (%)	4.2%

Sample

1st row	USA
2nd row	Australia
3rd row	Germany, Denmark
4th row	USA
5th row	Italy

Common Values

Value	Count	Frequency (%)
USA	28511	33.2%
India	6065	7.1%
UK	4111	4.8%
Japan	3077	3.6%
France	3055	3.6%
Italy	2444	2.8%
Canada	1802	2.1%
Germany	1396	1.6%
Turkey	1351	1.6%
Hong Kong	1239	1.4%
Other values (4897)	32740	38.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	34325	29.6%
france	8311	7.2%
uk	7490	6.4%
india	6373	5.5%
italy	5056	4.4%
germany	4909	4.2%
japan	3701	3.2%
canada	3621	3.1%
spain	2731	2.4%
hong	1884	1.6%
Other values (211)	37739	32.5%

Most occurring characters

Value	Count	Frequency (%)
a	72788	11.7%
n	50990	8.2%
U	42996	6.9%
S	42087	6.8%
A	37428	6.0%
e	36290	5.8%
	30349	4.9%
r	29118	4.7%
i	28551	4.6%
,	22991	3.7%
Other values (48)	227588	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	375790	60.5%
Uppercase Letter	192037	30.9%
Space Separator	30349	4.9%
Other Punctuation	22997	3.7%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	72788	19.4%
n	50990	13.6%
e	36290	9.7%
r	29118	7.7%
i	28551	7.6%
l	17254	4.6%
d	16614	4.4%
o	16082	4.3%
t	15164	4.0%
y	13552	3.6%
Other values (17)	79387	21.1%

Uppercase Letter

Value	Count	Frequency (%)
U	42996	22.4%
S	42087	21.9%
A	37428	19.5%
I	13509	7.0%
K	10777	5.6%
F	9079	4.7%
C	6333	3.3%
G	5771	3.0%
J	3742	1.9%
B	2891	1.5%
Other values (15)	17424	9.1%

Other Punctuation

Value	Count	Frequency (%)
,	22991	> 99.9%
'	6	< 0.1%

Space Separator

Value	Count	Frequency (%)
	30349	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	567827	91.4%
Common	53349	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	72788	12.8%
n	50990	9.0%
U	42996	7.6%
S	42087	7.4%
A	37428	6.6%
e	36290	6.4%
r	29118	5.1%
i	28551	5.0%
l	17254	3.0%
d	16614	2.9%
Other values (42)	193711	34.1%

Common

Value	Count	Frequency (%)
	30349	56.9%
,	22991	43.1%
'	6	< 0.1%
(	1	< 0.1%
)	1	< 0.1%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	621170	> 99.9%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	72788	11.7%
n	50990	8.2%
U	42996	6.9%
S	42087	6.8%
A	37428	6.0%
e	36290	5.8%
	30349	4.9%
r	29118	4.7%
i	28551	4.6%
,	22991	3.7%
Other values (47)	227582	36.6%

None

Value	Count	Frequency (%)
ô	6	100.0%

language
Categorical

HIGH CARDINALITY

Distinct	4377
Distinct (%)	5.1%
Missing	833
Missing (%)	1.0%
Memory size	670.9 KiB

English	35939
French	3903
Spanish	2831
Japanese	2826
Italian	2731
Other values (4372)	36792

Length

Max length	163
Median length	7
Mean length	9.476206158
Min length	3

Characters and Unicode

Total characters	805686
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3175 ?
Unique (%)	3.7%

Sample

1st row	None
2nd row	None
3rd row	English
4th row	Italian
5th row	English

Common Values

Value	Count	Frequency (%)
English	35939	41.9%
French	3903	4.5%
Spanish	2831	3.3%
Japanese	2826	3.3%
Italian	2731	3.2%
Hindi	2106	2.5%
German	1761	2.1%
Turkish	1355	1.6%
Russian	1345	1.6%
English, Spanish	1108	1.3%
Other values (4367)	29117	33.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	47453	43.2%
french	8164	7.4%
spanish	5685	5.2%
italian	4677	4.3%
german	4606	4.2%
japanese	3888	3.5%
hindi	2949	2.7%
russian	2816	2.6%
mandarin	1946	1.8%
turkish	1666	1.5%
Other values (258)	25947	23.6%

Most occurring characters

Value	Count	Frequency (%)
n	101920	12.7%
i	86785	10.8%
s	73457	9.1%
h	69711	8.7%
l	59572	7.4%
a	57434	7.1%
g	52934	6.6%
E	47597	5.9%
e	38510	4.8%
r	26491	3.3%
Other values (51)	191275	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	646212	80.2%
Uppercase Letter	110089	13.7%
Space Separator	24775	3.1%
Other Punctuation	24199	3.0%
Dash Punctuation	333	< 0.1%
Decimal Number	40	< 0.1%
Open Punctuation	19	< 0.1%
Close Punctuation	19	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	101920	15.8%
i	86785	13.4%
s	73457	11.4%
h	69711	10.8%
l	59572	9.2%
a	57434	8.9%
g	52934	8.2%
e	38510	6.0%
r	26491	4.1%
u	11995	1.9%
Other values (16)	67403	10.4%

Uppercase Letter

Value	Count	Frequency (%)
E	47597	43.2%
F	9134	8.3%
S	8151	7.4%
G	5680	5.2%
I	5199	4.7%
T	4491	4.1%
H	4102	3.7%
J	3888	3.5%
M	3414	3.1%
P	3353	3.0%
Other values (16)	15080	13.7%

Decimal Number

Value	Count	Frequency (%)
1	10	25.0%
4	10	25.0%
5	10	25.0%
3	10	25.0%

Space Separator

Value	Count	Frequency (%)
	24775	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	24199	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	333	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	19	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	756301	93.9%
Common	49385	6.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	101920	13.5%
i	86785	11.5%
s	73457	9.7%
h	69711	9.2%
l	59572	7.9%
a	57434	7.6%
g	52934	7.0%
E	47597	6.3%
e	38510	5.1%
r	26491	3.5%
Other values (42)	141890	18.8%

Common

Value	Count	Frequency (%)
	24775	50.2%
,	24199	49.0%
-	333	0.7%
(	19	< 0.1%
)	19	< 0.1%
1	10	< 0.1%
4	10	< 0.1%
5	10	< 0.1%
3	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	805686	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	101920	12.7%
i	86785	10.8%
s	73457	9.1%
h	69711	8.7%
l	59572	7.4%
a	57434	7.1%
g	52934	6.6%
E	47597	5.9%
e	38510	4.8%
r	26491	3.3%
Other values (51)	191275	23.7%

director
Categorical

HIGH CARDINALITY

Distinct	34733
Distinct (%)	40.5%
Missing	87
Missing (%)	0.1%
Memory size	670.9 KiB

Jesús Franco	87
Michael Curtiz	85
Lesley Selander	78
Lloyd Bacon	73
William Beaudine	70
Other values (34728)	85375

Length

Max length	62
Median length	52
Mean length	14.65699328
Min length	2

Characters and Unicode

Total characters	1257101
Distinct characters	105
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21465 ?
Unique (%)	25.0%

Sample

1st row	Alexander Black
2nd row	Charles Tait
3rd row	Urban Gad
4th row	Charles L. Gaskill
5th row	Francesco Bertolini, Adolfo Padovan

Common Values

Value	Count	Frequency (%)
Jesús Franco	87	0.1%
Michael Curtiz	85	0.1%
Lesley Selander	78	0.1%
Lloyd Bacon	73	0.1%
William Beaudine	70	0.1%
Richard Thorpe	68	0.1%
John Ford	67	0.1%
Gordon Douglas	64	0.1%
Raoul Walsh	61	0.1%
Mervyn LeRoy	59	0.1%
Other values (34723)	85056	99.1%
(Missing)	87	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	1672	0.9%
david	1319	0.7%
michael	1316	0.7%
robert	1196	0.6%
william	913	0.5%
richard	847	0.4%
peter	741	0.4%
de	736	0.4%
james	721	0.4%
paul	703	0.4%
Other values (31305)	182945	94.7%

Most occurring characters

Value	Count	Frequency (%)
a	118249	9.4%
	107341	8.5%
e	101071	8.0%
i	83255	6.6%
n	82271	6.5%
r	81904	6.5%
o	71171	5.7%
l	54291	4.3%
s	43948	3.5%
t	39334	3.1%
Other values (95)	474266	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	936765	74.5%
Uppercase Letter	196738	15.7%
Space Separator	107341	8.5%
Other Punctuation	13124	1.0%
Dash Punctuation	3132	0.2%
Decimal Number	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	118249	12.6%
e	101071	10.8%
i	83255	8.9%
n	82271	8.8%
r	81904	8.7%
o	71171	7.6%
l	54291	5.8%
s	43948	4.7%
t	39334	4.2%
h	36152	3.9%
Other values (46)	225119	24.0%

Uppercase Letter

Value	Count	Frequency (%)
S	17202	8.7%
M	17033	8.7%
J	13224	6.7%
A	13007	6.6%
R	12412	6.3%
C	12100	6.2%
B	11788	6.0%
D	10144	5.2%
L	9622	4.9%
G	9376	4.8%
Other values (32)	70830	36.0%

Other Punctuation

Value	Count	Frequency (%)
.	6689	51.0%
,	5826	44.4%
'	607	4.6%
"	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	107341	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3132	100.0%

Decimal Number

Value	Count	Frequency (%)
3	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1133503	90.2%
Common	123598	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	118249	10.4%
e	101071	8.9%
i	83255	7.3%
n	82271	7.3%
r	81904	7.2%
o	71171	6.3%
l	54291	4.8%
s	43948	3.9%
t	39334	3.5%
h	36152	3.2%
Other values (88)	421857	37.2%

Common

Value	Count	Frequency (%)
	107341	86.8%
.	6689	5.4%
,	5826	4.7%
-	3132	2.5%
'	607	0.5%
"	2	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1248298	99.3%
None	8803	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	118249	9.5%
	107341	8.6%
e	101071	8.1%
i	83255	6.7%
n	82271	6.6%
r	81904	6.6%
o	71171	5.7%
l	54291	4.3%
s	43948	3.5%
t	39334	3.2%
Other values (49)	465463	37.3%

None

Value	Count	Frequency (%)
é	2084	23.7%
á	1156	13.1%
ô	709	8.1%
í	648	7.4%
ó	587	6.7%
ö	554	6.3%
ü	499	5.7%
ç	300	3.4%
ä	212	2.4%
Ö	175	2.0%
Other values (36)	1879	21.3%

writer
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	66859
Distinct (%)	79.3%
Missing	1572
Missing (%)	1.8%
Memory size	670.9 KiB

Jing Wong	84
Kuang Ni	45
Woody Allen	40
Erdogan Tünas	35
Leonardo Benvenuti, Piero De Bernardi	34
Other values (66854)	84045

Length

Max length	64
Median length	52
Mean length	24.00411708
Min length	2

Characters and Unicode

Total characters	2023139
Distinct characters	113
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58034 ?
Unique (%)	68.9%

Sample

1st row	Alexander Black
2nd row	Charles Tait
3rd row	Urban Gad, Gebhard Schätzler-Perasini
4th row	Victorien Sardou
5th row	Dante Alighieri

Common Values

Value	Count	Frequency (%)
Jing Wong	84	0.1%
Kuang Ni	45	0.1%
Woody Allen	40	< 0.1%
Erdogan Tünas	35	< 0.1%
Leonardo Benvenuti, Piero De Bernardi	34	< 0.1%
Carlo Vanzina, Enrico Vanzina	32	< 0.1%
Cheh Chang, Kuang Ni	31	< 0.1%
Giannis Dalianidis	29	< 0.1%
Ingmar Bergman	27	< 0.1%
Safa Önal	27	< 0.1%
Other values (66849)	83899	97.7%
(Missing)	1572	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	2418	0.8%
david	1853	0.6%
robert	1843	0.6%
michael	1772	0.6%
james	1215	0.4%
paul	1135	0.4%
de	1111	0.4%
richard	1072	0.4%
william	1008	0.3%
peter	924	0.3%
Other values (48157)	280912	95.1%

Most occurring characters

Value	Count	Frequency (%)
	210980	10.4%
a	183777	9.1%
e	156493	7.7%
n	128306	6.3%
r	126376	6.2%
i	124811	6.2%
o	109484	5.4%
l	83330	4.1%
s	68336	3.4%
t	61306	3.0%
Other values (103)	769940	38.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1438844	71.1%
Uppercase Letter	301943	14.9%
Space Separator	210980	10.4%
Other Punctuation	66855	3.3%
Dash Punctuation	4503	0.2%
Decimal Number	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	183777	12.8%
e	156493	10.9%
n	128306	8.9%
r	126376	8.8%
i	124811	8.7%
o	109484	7.6%
l	83330	5.8%
s	68336	4.7%
t	61306	4.3%
h	54751	3.8%
Other values (48)	341874	23.8%

Uppercase Letter

Value	Count	Frequency (%)
M	26301	8.7%
S	24660	8.2%
J	20870	6.9%
A	20564	6.8%
B	20027	6.6%
C	19493	6.5%
R	17550	5.8%
D	15814	5.2%
G	14909	4.9%
K	14486	4.8%
Other values (32)	107269	35.5%

Decimal Number

Value	Count	Frequency (%)
0	4	28.6%
5	3	21.4%
7	2	14.3%
1	2	14.3%
3	2	14.3%
9	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
,	55238	82.6%
.	10608	15.9%
'	1006	1.5%
"	2	< 0.1%
&	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	210980	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4503	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1740787	86.0%
Common	282352	14.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	183777	10.6%
e	156493	9.0%
n	128306	7.4%
r	126376	7.3%
i	124811	7.2%
o	109484	6.3%
l	83330	4.8%
s	68336	3.9%
t	61306	3.5%
h	54751	3.1%
Other values (90)	643817	37.0%

Common

Value	Count	Frequency (%)
	210980	74.7%
,	55238	19.6%
.	10608	3.8%
-	4503	1.6%
'	1006	0.4%
0	4	< 0.1%
5	3	< 0.1%
7	2	< 0.1%
1	2	< 0.1%
"	2	< 0.1%
Other values (3)	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2009960	99.3%
None	13179	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	210980	10.5%
a	183777	9.1%
e	156493	7.8%
n	128306	6.4%
r	126376	6.3%
i	124811	6.2%
o	109484	5.4%
l	83330	4.1%
s	68336	3.4%
t	61306	3.1%
Other values (55)	756761	37.7%

None

Value	Count	Frequency (%)
é	2927	22.2%
á	1798	13.6%
ô	1175	8.9%
í	1019	7.7%
ó	876	6.6%
ü	795	6.0%
ö	730	5.5%
ç	448	3.4%
è	380	2.9%
ä	340	2.6%
Other values (38)	2691	20.4%

production_company
Categorical

HIGH CARDINALITY
MISSING

Distinct	32050
Distinct (%)	39.4%
Missing	4455
Missing (%)	5.2%
Memory size	670.9 KiB

Metro-Goldwyn-Mayer (MGM)	1284
Warner Bros.	1153
Columbia Pictures	914
Paramount Pictures	903
Twentieth Century Fox	865
Other values (32045)	76281

Length

Max length	101
Median length	75
Mean length	18.26003686
Min length	1

Characters and Unicode

Total characters	1486367
Distinct characters	129
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22126 ?
Unique (%)	27.2%

Sample

1st row	Alexander Black Photoplays
2nd row	J. and N. Tait
3rd row	Fotorama
4th row	Helen Gardner Picture Players
5th row	Milano Film

Common Values

Value	Count	Frequency (%)
Metro-Goldwyn-Mayer (MGM)	1284	1.5%
Warner Bros.	1153	1.3%
Columbia Pictures	914	1.1%
Paramount Pictures	903	1.1%
Twentieth Century Fox	865	1.0%
Universal Pictures	732	0.9%
RKO Radio Pictures	535	0.6%
Mosfilm	279	0.3%
Universal International Pictures (UI)	272	0.3%
Canal+	231	0.3%
Other values (32040)	74232	86.5%
(Missing)	4455	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
films	11429	5.6%
productions	11148	5.5%
pictures	9826	4.9%
film	9384	4.6%
entertainment	5027	2.5%
company	1990	1.0%
international	1676	0.8%
production	1431	0.7%
metro-goldwyn-mayer	1309	0.6%
mgm	1285	0.6%
Other values (25140)	148036	73.1%

Most occurring characters

Value	Count	Frequency (%)
i	123215	8.3%
	121141	8.2%
e	100096	6.7%
n	96877	6.5%
o	96222	6.5%
r	91195	6.1%
t	90440	6.1%
a	87994	5.9%
s	71570	4.8%
l	60630	4.1%
Other values (119)	546987	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1107193	74.5%
Uppercase Letter	226962	15.3%
Space Separator	121141	8.2%
Other Punctuation	11473	0.8%
Dash Punctuation	5272	0.4%
Open Punctuation	4738	0.3%
Close Punctuation	4737	0.3%
Decimal Number	4464	0.3%
Math Symbol	365	< 0.1%
Connector Punctuation	12	< 0.1%
Other values (2)	10	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	123215	11.1%
e	100096	9.0%
n	96877	8.7%
o	96222	8.7%
r	91195	8.2%
t	90440	8.2%
a	87994	7.9%
s	71570	6.5%
l	60630	5.5%
m	53032	4.8%
Other values (45)	235922	21.3%

Uppercase Letter

Value	Count	Frequency (%)
F	32415	14.3%
P	32019	14.1%
C	22473	9.9%
M	15789	7.0%
A	13965	6.2%
S	13249	5.8%
B	10674	4.7%
E	10339	4.6%
G	9267	4.1%
I	8393	3.7%
Other values (28)	58379	25.7%

Other Punctuation

Value	Count	Frequency (%)
.	8575	74.7%
&	1258	11.0%
'	625	5.4%
/	495	4.3%
"	230	2.0%
,	192	1.7%
!	55	0.5%
:	17	0.1%
@	8	0.1%
%	6	0.1%
Other values (3)	12	0.1%

Decimal Number

Value	Count	Frequency (%)
2	928	20.8%
0	775	17.4%
1	679	15.2%
3	541	12.1%
4	490	11.0%
5	260	5.8%
7	248	5.6%
9	211	4.7%
8	198	4.4%
6	134	3.0%

Math Symbol

Value	Count	Frequency (%)
+	363	99.5%
~	1	0.3%
=	1	0.3%

Open Punctuation

Value	Count	Frequency (%)
(	4735	99.9%
[	3	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	4734	99.9%
]	3	0.1%

Other Number

Value	Count	Frequency (%)
²	4	80.0%
½	1	20.0%

Space Separator

Value	Count	Frequency (%)
	121141	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5272	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12	100.0%

Other Symbol

Value	Count	Frequency (%)
°	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1334155	89.8%
Common	152212	10.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	123215	9.2%
e	100096	7.5%
n	96877	7.3%
o	96222	7.2%
r	91195	6.8%
t	90440	6.8%
a	87994	6.6%
s	71570	5.4%
l	60630	4.5%
m	53032	4.0%
Other values (83)	462884	34.7%

Common

Value	Count	Frequency (%)
	121141	79.6%
.	8575	5.6%
-	5272	3.5%
(	4735	3.1%
)	4734	3.1%
&	1258	0.8%
2	928	0.6%
0	775	0.5%
1	679	0.4%
'	625	0.4%
Other values (26)	3490	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1480947	99.6%
None	5420	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	123215	8.3%
	121141	8.2%
e	100096	6.8%
n	96877	6.5%
o	96222	6.5%
r	91195	6.2%
t	90440	6.1%
a	87994	5.9%
s	71570	4.8%
l	60630	4.1%
Other values (75)	541567	36.6%

None

Value	Count	Frequency (%)
é	2063	38.1%
á	708	13.1%
ó	576	10.6%
í	256	4.7%
ç	253	4.7%
ü	251	4.6%
ú	176	3.2%
ñ	147	2.7%
õ	142	2.6%
ö	134	2.5%
Other values (34)	714	13.2%

actors
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	85729
Distinct (%)	99.9%
Missing	69
Missing (%)	0.1%
Memory size	670.9 KiB

Nobuyo Ôyama, Noriko Ohara, Michiko Nomura, Kaneta Kimotsuki, Kazuya Tatekabe	9
Sergey A.	6
Bill Corbett, Kevin Murphy, Michael J. Nelson	6
Keiji Fujiwara, Satomi Kôrogi, Miki Narahashi, Akiko Yajima	4
Trace Beaulieu, Frank Conniff, Joel Hodgson, Mary Jo Pehl, J. Elvis Weinstein	3
Other values (85724)	85758

Length

Max length	415
Median length	312
Mean length	205.166892
Min length	7

Characters and Unicode

Total characters	17600447
Distinct characters	131
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85693 ?
Unique (%)	99.9%

Sample

1st row	Blanche Bayliss, William Courtenay, Chauncey Depew
2nd row	Elizabeth Tait, John Tait, Norman Campbell, Bella Cola, Will Coyne, Sam Crewes, Jack Ennis, John Forde, Vera Linden, Mr. Marshall, Mr. McKenzie, Frank Mills, Ollie Wilson
3rd row	Asta Nielsen, Valdemar Psilander, Gunnar Helsengreen, Emil Albes, Hugo Flink, Mary Hagen
4th row	Helen Gardner, Pearl Sindelar, Miss Fielding, Miss Robson, Helene Costello, Charles Sindelar, Mr. Howard, James R. Waite, Mr. Osborne, Harry Knowles, Mr. Paul, Mr. Brady, Mr. Corker
5th row	Salvatore Papa, Arturo Pirovano, Giuseppe de Liguoro, Pier Delle Vigne, Augusto Milla, Attilio Motta, Emilise Beretta

Common Values

Value	Count	Frequency (%)
Nobuyo Ôyama, Noriko Ohara, Michiko Nomura, Kaneta Kimotsuki, Kazuya Tatekabe	9	< 0.1%
Sergey A.	6	< 0.1%
Bill Corbett, Kevin Murphy, Michael J. Nelson	6	< 0.1%
Keiji Fujiwara, Satomi Kôrogi, Miki Narahashi, Akiko Yajima	4	< 0.1%
Trace Beaulieu, Frank Conniff, Joel Hodgson, Mary Jo Pehl, J. Elvis Weinstein	3	< 0.1%
Richard Pryor	3	< 0.1%
Ian McKellen, Martin Freeman, Richard Armitage, Ken Stott, Graham McTavish, William Kircher, James Nesbitt, Stephen Hunter, Dean O'Gorman, Aidan Turner, John Callen, Peter Hambleton, Jed Brophy, Mark Hadlow, Adam Brown	3	< 0.1%
Mike Stoklasa	3	< 0.1%
Tomoki Hirose, Yûki Hiyori, Rin Ishikawa, Itsuki Sagara, Yukihiro Takiguchi, Hinako Tanaka, James Takeshi Yamada	2	< 0.1%
H.B. Halicki, Marion Busia, Jerry Daugirda, James McIntyre, George Cole, Ronald Halicki, Markos Kotsikos, Parnelli Jones, Gary Bettenhausen, Jonathan E. Fricke, Hal McClain, J.C. Agajanian, J.C. Agajanian Jr., Christopher J.C. Agajanian, Billy Englehart	2	< 0.1%
Other values (85719)	85745	99.9%
(Missing)	69	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	13834	0.6%
michael	11431	0.5%
david	9725	0.4%
robert	8917	0.4%
james	8225	0.3%
de	7155	0.3%
richard	6857	0.3%
paul	6811	0.3%
lee	6235	0.3%
peter	6143	0.3%
Other values (209566)	2294434	96.4%

Most occurring characters

Value	Count	Frequency (%)
	2293981	13.0%
a	1593877	9.1%
e	1283545	7.3%
,	1069507	6.1%
n	1063343	6.0%
i	1048544	6.0%
r	996016	5.7%
o	852330	4.8%
l	708858	4.0%
s	533575	3.0%
Other values (121)	6156871	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11731527	66.7%
Uppercase Letter	2427273	13.8%
Space Separator	2293981	13.0%
Other Punctuation	1111873	6.3%
Dash Punctuation	35668	0.2%
Decimal Number	122	< 0.1%
Currency Symbol	1	< 0.1%
Final Punctuation	1	< 0.1%
Other Letter	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1593877	13.6%
e	1283545	10.9%
n	1063343	9.1%
i	1048544	8.9%
r	996016	8.5%
o	852330	7.3%
l	708858	6.0%
s	533575	4.5%
t	502791	4.3%
h	425908	3.6%
Other values (48)	2722740	23.2%

Uppercase Letter

Value	Count	Frequency (%)
M	223504	9.2%
S	197996	8.2%
A	166141	6.8%
B	165554	6.8%
C	164832	6.8%
J	151829	6.3%
R	133317	5.5%
D	128135	5.3%
L	121460	5.0%
K	120119	4.9%
Other values (39)	854386	35.2%

Decimal Number

Value	Count	Frequency (%)
0	28	23.0%
5	22	18.0%
1	21	17.2%
2	13	10.7%
4	12	9.8%
6	8	6.6%
3	6	4.9%
9	5	4.1%
7	4	3.3%
8	3	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	1069507	96.2%
.	30041	2.7%
'	12254	1.1%
&	30	< 0.1%
!	16	< 0.1%
"	12	< 0.1%
:	10	< 0.1%
*	2	< 0.1%
@	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	2293981	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	35668	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Other Letter

Value	Count	Frequency (%)
ª	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14158801	80.4%
Common	3441646	19.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1593877	11.3%
e	1283545	9.1%
n	1063343	7.5%
i	1048544	7.4%
r	996016	7.0%
o	852330	6.0%
l	708858	5.0%
s	533575	3.8%
t	502791	3.6%
h	425908	3.0%
Other values (98)	5150014	36.4%

Common

Value	Count	Frequency (%)
	2293981	66.7%
,	1069507	31.1%
-	35668	1.0%
.	30041	0.9%
'	12254	0.4%
&	30	< 0.1%
0	28	< 0.1%
5	22	< 0.1%
1	21	< 0.1%
!	16	< 0.1%
Other values (13)	78	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17492911	99.4%
None	107535	0.6%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2293981	13.1%
a	1593877	9.1%
e	1283545	7.3%
,	1069507	6.1%
n	1063343	6.1%
i	1048544	6.0%
r	996016	5.7%
o	852330	4.9%
l	708858	4.1%
s	533575	3.1%
Other values (64)	6049335	34.6%

None

Value	Count	Frequency (%)
é	23755	22.1%
á	15596	14.5%
í	9129	8.5%
ô	9087	8.5%
ü	6859	6.4%
ó	6500	6.0%
ö	5900	5.5%
ç	3944	3.7%
è	3089	2.9%
ä	2528	2.4%
Other values (46)	21148	19.7%

Punctuation

Value	Count	Frequency (%)
’	1	100.0%

description
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	83611
Distinct (%)	99.8%
Missing	2115
Missing (%)	2.5%
Memory size	670.9 KiB

The story of	15
Mail	6
The true story of	5
In this sequel to	5
Based on	5
Other values (83606)	83704

Length

Max length	402
Median length	336
Mean length	160.0632314
Min length	2

Characters and Unicode

Total characters	13403695
Distinct characters	165
Distinct categories	20 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83527 ?
Unique (%)	99.7%

Sample

1st row	The adventures of a female reporter in the 1890s.
2nd row	True story of notorious Australian outlaw Ned Kelly (1855-80).
3rd row	Two men of high rank are both wooing the beautiful and famous equestrian acrobat Stella. While Stella ignores the jeweler Hirsch, she accepts Count von Waldberg's offer to follow her home, ...
4th row	The fabled queen of Egypt's affair with Roman general Marc Antony is ultimately disastrous for both of them.
5th row	Loosely adapted from Dante's Divine Comedy and inspired by the illustrations of Gustav Doré the original silent film has been restored and has a new score by Tangerine Dream.

Common Values

Value	Count	Frequency (%)
The story of	15	< 0.1%
Mail	6	< 0.1%
The true story of	5	< 0.1%
In this sequel to	5	< 0.1%
Based on	5	< 0.1%
Emil goes to Berlin to see his grandmother with a large amount of money and is offered sweets by a strange man that make him sleep. He wakes up at his stop with no money. It is up to him and a group of children to save the day.	4	< 0.1%
Tom Sawyer and his pal Huckleberry Finn have great adventures on the Mississippi River, pretending to be pirates, attending their own funeral and witnessing a murder.	4	< 0.1%
Desperate measures are taken by a man who tries to save his family from the dark side of the law, after they commit an unexpected crime.	4	< 0.1%
During World War II, a teenage Jewish girl named Anne Frank and her family are forced into hiding in the Nazi-occupied Netherlands.	4	< 0.1%
After she loses her mobile phone, a lawyer receives a call from the person who found it. They talk and hit it off very quickly. But she's in shock when she sees that he's very short.	3	< 0.1%
Other values (83601)	83685	97.5%
(Missing)	2115	2.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	130832	5.6%
the	111636	4.8%
to	71782	3.1%
of	65803	2.8%
and	61890	2.7%
in	51753	2.2%
his	38317	1.6%
is	35964	1.5%
with	23353	1.0%
her	22794	1.0%
Other values (84674)	1715088	73.6%

Most occurring characters

Value	Count	Frequency (%)
	2245469	16.8%
e	1256194	9.4%
a	893557	6.7%
t	845626	6.3%
i	800526	6.0%
o	777423	5.8%
n	767479	5.7%
r	713250	5.3%
s	712075	5.3%
h	546308	4.1%
Other values (155)	3845788	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10396199	77.6%
Space Separator	2245476	16.8%
Uppercase Letter	342324	2.6%
Other Punctuation	336402	2.5%
Decimal Number	39039	0.3%
Dash Punctuation	30712	0.2%
Open Punctuation	6804	0.1%
Close Punctuation	6352	< 0.1%
Currency Symbol	285	< 0.1%
Math Symbol	29	< 0.1%
Other values (10)	73	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1256194	12.1%
a	893557	8.6%
t	845626	8.1%
i	800526	7.7%
o	777423	7.5%
n	767479	7.4%
r	713250	6.9%
s	712075	6.8%
h	546308	5.3%
l	440323	4.2%
Other values (47)	2643438	25.4%

Uppercase Letter

Value	Count	Frequency (%)
A	55266	16.1%
T	32942	9.6%
S	26411	7.7%
M	18411	5.4%
C	18018	5.3%
B	17744	5.2%
I	17021	5.0%
H	16227	4.7%
W	15802	4.6%
D	11908	3.5%
Other values (35)	112574	32.9%

Other Punctuation

Value	Count	Frequency (%)
.	185255	55.1%
,	108716	32.3%
'	26768	8.0%
"	8711	2.6%
:	2185	0.6%
?	1882	0.6%
;	1266	0.4%
/	678	0.2%
!	542	0.2%
&	303	0.1%
Other values (9)	96	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	9488	24.3%
0	6927	17.7%
9	5749	14.7%
2	3765	9.6%
8	2400	6.1%
3	2333	6.0%
5	2305	5.9%
4	2241	5.7%
7	1932	4.9%
6	1899	4.9%

Math Symbol

Value	Count	Frequency (%)
+	16	55.2%
~	7	24.1%
=	4	13.8%
¬	1	3.4%
±	1	3.4%

Modifier Symbol

Value	Count	Frequency (%)
`	8	53.3%
^	2	13.3%
¸	2	13.3%
¨	2	13.3%
´	1	6.7%

Other Symbol

Value	Count	Frequency (%)
©	6	46.2%
°	4	30.8%
¦	1	7.7%
®	1	7.7%
�	1	7.7%

Currency Symbol

Value	Count	Frequency (%)
$	270	94.7%
£	13	4.6%
¢	2	0.7%

Space Separator

Value	Count	Frequency (%)
	2245469	> 99.9%
	7	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	6784	99.7%
[	20	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	6334	99.7%
]	18	0.3%

Final Punctuation

Value	Count	Frequency (%)
»	13	86.7%
’	2	13.3%

Dash Punctuation

Value	Count	Frequency (%)
-	30712	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	16	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Format

Value	Count	Frequency (%)
	2	100.0%

Other Letter

Value	Count	Frequency (%)
ª	1	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
۪	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10738524	80.1%
Common	2665170	19.9%
Arabic	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1256194	11.7%
a	893557	8.3%
t	845626	7.9%
i	800526	7.5%
o	777423	7.2%
n	767479	7.1%
r	713250	6.6%
s	712075	6.6%
h	546308	5.1%
l	440323	4.1%
Other values (93)	2985763	27.8%

Common

Value	Count	Frequency (%)
	2245469	84.3%
.	185255	7.0%
,	108716	4.1%
-	30712	1.2%
'	26768	1.0%
1	9488	0.4%
"	8711	0.3%
0	6927	0.3%
(	6784	0.3%
)	6334	0.2%
Other values (51)	30006	1.1%

Arabic

Value	Count	Frequency (%)
۪	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13400163	> 99.9%
None	3528	< 0.1%
Punctuation	2	< 0.1%
Arabic	1	< 0.1%
Specials	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2245469	16.8%
e	1256194	9.4%
a	893557	6.7%
t	845626	6.3%
i	800526	6.0%
o	777423	5.8%
n	767479	5.7%
r	713250	5.3%
s	712075	5.3%
h	546308	4.1%
Other values (80)	3842256	28.7%

None

Value	Count	Frequency (%)
é	1368	38.8%
á	317	9.0%
í	206	5.8%
ü	165	4.7%
ö	149	4.2%
ó	142	4.0%
è	140	4.0%
ç	109	3.1%
ä	103	2.9%
ã	96	2.7%
Other values (62)	733	20.8%

Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Arabic

Value	Count	Frequency (%)
۪	1	100.0%

Specials

Value	Count	Frequency (%)
�	1	100.0%

avg_vote
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	89
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.898655873

Minimum	1
Maximum	9.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3.5
Q1	5.2
median	6.1
Q3	6.8
95-th percentile	7.6
Maximum	9.9
Range	8.9
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.234987351
Coefficient of variation (CV)	0.2093675878
Kurtosis	0.5978266621
Mean	5.898655873
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7609643007
Sum	506429.1
Variance	1.525193758
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.4	3407	4.0%
6.2	3347	3.9%
6.5	3335	3.9%
6.3	3318	3.9%
6.6	3195	3.7%
6.1	3139	3.7%
6.7	3085	3.6%
6.8	3073	3.6%
6	2832	3.3%
7	2768	3.2%
Other values (79)	54356	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	16	< 0.1%
1.1	20	< 0.1%
1.2	20	< 0.1%
1.3	25	< 0.1%
1.4	26	< 0.1%
1.5	33	< 0.1%
1.6	49	0.1%
1.7	45	0.1%
1.8	70	0.1%
1.9	68	0.1%

Value	Count	Frequency (%)
9.9	1	< 0.1%
9.8	4	< 0.1%
9.7	3	< 0.1%
9.5	2	< 0.1%
9.4	2	< 0.1%
9.3	7	< 0.1%
9.2	9	< 0.1%
9.1	8	< 0.1%
9	19	< 0.1%
8.9	28	< 0.1%

votes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	14933
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9493.489605

Minimum	99
Maximum	2278845
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	99
5-th percentile	114
Q1	205
median	484
Q3	1766.5
95-th percentile	33416.2
Maximum	2278845
Range	2278746
Interquartile range (IQR)	1561.5

Descriptive statistics

Standard deviation	53574.35954
Coefficient of variation (CV)	5.64327363
Kurtosis	325.2774404
Mean	9493.489605
Median Absolute Deviation (MAD)	344
Skewness	14.61947943
Sum	815063550
Variance	2870212000
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
102	316	0.4%
101	315	0.4%
105	309	0.4%
100	308	0.4%
106	295	0.3%
112	292	0.3%
111	288	0.3%
107	285	0.3%
113	285	0.3%
110	282	0.3%
Other values (14923)	82880	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
99	5	< 0.1%
100	308	0.4%
101	315	0.4%
102	316	0.4%
103	276	0.3%
104	268	0.3%
105	309	0.4%
106	295	0.3%
107	285	0.3%
108	275	0.3%

Value	Count	Frequency (%)
2278845	1	< 0.1%
2241615	1	< 0.1%
2002816	1	< 0.1%
1807440	1	< 0.1%
1780147	1	< 0.1%
1755490	1	< 0.1%
1632315	1	< 0.1%
1619920	1	< 0.1%
1604280	1	< 0.1%
1572674	1	< 0.1%

budget
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	2506
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29193851.35

Minimum	0
Maximum	3.5 × 10¹¹
Zeros	62179
Zeros (%)	72.4%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	100000
95-th percentile	24000000
Maximum	3.5 × 10¹¹
Range	3.5 × 10¹¹
Interquartile range (IQR)	100000

Descriptive statistics

Standard deviation	1456806506
Coefficient of variation (CV)	49.90114147
Kurtosis	39661.9928
Mean	29193851.35
Median Absolute Deviation (MAD)	0
Skewness	176.1867109
Sum	2.506438108 × 10¹²
Variance	2.122285197 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	62179	72.4%
1000000	1004	1.2%
2000000	765	0.9%
3000000	698	0.8%
5000000	655	0.8%
10000000	559	0.7%
500000	525	0.6%
1500000	498	0.6%
4000000	472	0.5%
20000000	454	0.5%
Other values (2496)	18046	21.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	62179	72.4%
1	10	< 0.1%
2	6	< 0.1%
3	2	< 0.1%
4	1	< 0.1%
5	3	< 0.1%
6	1	< 0.1%
7	2	< 0.1%
10	5	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
3.5 × 10¹¹	1	< 0.1%
1.2 × 10¹¹	1	< 0.1%
8 × 10¹⁰	1	< 0.1%
7 × 10¹⁰	1	< 0.1%
6.62168 × 10¹⁰	1	< 0.1%
5.9 × 10¹⁰	1	< 0.1%
5.5 × 10¹⁰	1	< 0.1%
5 × 10¹⁰	2	< 0.1%
3.5 × 10¹⁰	3	< 0.1%
3 × 10¹⁰	5	< 0.1%

usa_gross_income
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14858
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3479774.818

Minimum	0
Maximum	936662225
Zeros	70529
Zeros (%)	82.1%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	13540658.5
Maximum	936662225
Range	936662225
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	21706663.98
Coefficient of variation (CV)	6.237950764
Kurtosis	276.9293875
Mean	3479774.818
Median Absolute Deviation (MAD)	0
Skewness	13.36640586
Sum	2.98756067 × 10¹¹
Variance	4.711792612 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	70529	82.1%
1000000	19	< 0.1%
1500000	17	< 0.1%
8144	17	< 0.1%
509	13	< 0.1%
1400000	13	< 0.1%
2000000	12	< 0.1%
46808	11	< 0.1%
3270000	11	< 0.1%
1300000	11	< 0.1%
Other values (14848)	15202	17.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	70529	82.1%
30	1	< 0.1%
64	1	< 0.1%
72	1	< 0.1%
74	1	< 0.1%
78	1	< 0.1%
80	1	< 0.1%
95	1	< 0.1%
120	1	< 0.1%
147	1	< 0.1%

Value	Count	Frequency (%)
936662225	1	< 0.1%
858373000	1	< 0.1%
760507625	1	< 0.1%
700426566	1	< 0.1%
678815482	1	< 0.1%
659363944	1	< 0.1%
652270625	1	< 0.1%
623357910	1	< 0.1%
620181382	1	< 0.1%
608581744	1	< 0.1%

worlwide_gross_income
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	30411
Distinct (%)	35.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8339442.376

Minimum	0
Maximum	2797800564
Zeros	54839
Zeros (%)	63.9%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	211466
95-th percentile	26266775.2
Maximum	2797800564
Range	2797800564
Interquartile range (IQR)	211466

Descriptive statistics

Standard deviation	55319615.66
Coefficient of variation (CV)	6.633490966
Kurtosis	408.2062341
Mean	8339442.376
Median Absolute Deviation (MAD)	0
Skewness	16.02837166
Sum	7.159828252 × 10¹¹
Variance	3.060259877 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	54839	63.9%
8144	15	< 0.1%
46808	10	< 0.1%
509	9	< 0.1%
97182	6	< 0.1%
14000000	5	< 0.1%
2874	5	< 0.1%
11000000	4	< 0.1%
1500000	4	< 0.1%
220000000	4	< 0.1%
Other values (30401)	30954	36.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54839	63.9%
1	1	< 0.1%
16	1	< 0.1%
17	2	< 0.1%
20	1	< 0.1%
23	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
30	1	< 0.1%
32	1	< 0.1%

Value	Count	Frequency (%)
2797800564	1	< 0.1%
2790439092	1	< 0.1%
2195169869	1	< 0.1%
2068224036	1	< 0.1%
2048359754	1	< 0.1%
1670401444	1	< 0.1%
1656963790	1	< 0.1%
1518814206	1	< 0.1%
1515048151	1	< 0.1%
1450026933	1	< 0.1%

metascore
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	99
Distinct (%)	0.7%
Missing	72550
Missing (%)	84.5%
Infinite	0
Infinite (%)	0.0%
Mean	55.89688087

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	1
5-th percentile	26
Q1	43
median	57
Q3	69
95-th percentile	84
Maximum	100
Range	99
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	17.78487427
Coefficient of variation (CV)	0.3181729284
Kurtosis	-0.4316876445
Mean	55.89688087
Median Absolute Deviation (MAD)	13
Skewness	-0.1614852504
Sum	743708
Variance	316.3017529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	303	0.4%
55	296	0.3%
65	291	0.3%
57	291	0.3%
61	284	0.3%
62	281	0.3%
49	278	0.3%
66	275	0.3%
68	273	0.3%
58	273	0.3%
Other values (89)	10460	12.2%
(Missing)	72550	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	< 0.1%
3	2	< 0.1%
4	1	< 0.1%
5	4	< 0.1%
6	3	< 0.1%
7	8	< 0.1%
8	8	< 0.1%
9	15	< 0.1%
10	12	< 0.1%
11	16	< 0.1%

Value	Count	Frequency (%)
100	16	< 0.1%
99	8	< 0.1%
98	9	< 0.1%
97	14	< 0.1%
96	27	< 0.1%
95	15	< 0.1%
94	27	< 0.1%
93	27	< 0.1%
92	25	< 0.1%
91	42	< 0.1%

reviews_from_users
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1213
Distinct (%)	1.6%
Missing	7597
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	46.0408265

Minimum	1
Maximum	10472
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	9
Q3	27
95-th percentile	186
Maximum	10472
Range	10471
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	178.5114112
Coefficient of variation (CV)	3.877241673
Kurtosis	581.6803158
Mean	46.0408265
Median Absolute Deviation (MAD)	7
Skewness	17.71999159
Sum	3603063
Variance	31866.32391
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	7546	8.8%
2	6559	7.6%
3	5373	6.3%
4	4581	5.3%
5	3929	4.6%
6	3457	4.0%
7	3045	3.5%
8	2665	3.1%
9	2483	2.9%
10	2177	2.5%
Other values (1203)	36443	42.4%
(Missing)	7597	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7546	8.8%
2	6559	7.6%
3	5373	6.3%
4	4581	5.3%
5	3929	4.6%
6	3457	4.0%
7	3045	3.5%
8	2665	3.1%
9	2483	2.9%
10	2177	2.5%

Value	Count	Frequency (%)
10472	1	< 0.1%
8869	1	< 0.1%
8232	1	< 0.1%
7639	1	< 0.1%
7553	1	< 0.1%
7207	1	< 0.1%
6938	1	< 0.1%
6718	1	< 0.1%
5392	1	< 0.1%
5261	1	< 0.1%

reviews_from_critics
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	595
Distinct (%)	0.8%
Missing	11797
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	27.47998866

Minimum	1
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	670.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	8
Q3	23
95-th percentile	126
Maximum	999
Range	998
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	58.3391584
Coefficient of variation (CV)	2.122968795
Kurtosis	34.73872691
Mean	27.47998866
Median Absolute Deviation (MAD)	6
Skewness	5.028834999
Sum	2035113
Variance	3403.457402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	8506	9.9%
2	6822	7.9%
3	5437	6.3%
4	4722	5.5%
5	3884	4.5%
6	3215	3.7%
7	2774	3.2%
8	2451	2.9%
9	2168	2.5%
10	1941	2.3%
Other values (585)	32138	37.4%
(Missing)	11797	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8506	9.9%
2	6822	7.9%
3	5437	6.3%
4	4722	5.5%
5	3884	4.5%
6	3215	3.7%
7	2774	3.2%
8	2451	2.9%
9	2168	2.5%
10	1941	2.3%

Value	Count	Frequency (%)
999	1	< 0.1%
909	1	< 0.1%
838	1	< 0.1%
833	1	< 0.1%
830	1	< 0.1%
813	1	< 0.1%
782	1	< 0.1%
769	1	< 0.1%
755	1	< 0.1%
740	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	imdb_title_id	title	original_title	year	date_published	genre	duration	country	language	director	writer	production_company	actors	description	avg_vote	votes	budget	metascore	reviews_from_users	reviews_from_critics
0	tt0000009	Miss Jerry	Miss Jerry	1894	1894-10-09	Romance	45	USA	None	Alexander Black	Alexander Black	Alexander Black Photoplays	Blanche Bayliss, William Courtenay, Chauncey Depew	The adventures of a female reporter in the 1890s.	5.9	154	0	NaN	1.0	2.0
1	tt0000574	The Story of the Kelly Gang	The Story of the Kelly Gang	1906	1906-12-26	Biography, Crime, Drama	70	Australia	None	Charles Tait	Charles Tait	J. and N. Tait	Elizabeth Tait, John Tait, Norman Campbell, Bella Cola, Will Coyne, Sam Crewes, Jack Ennis, John Forde, Vera Linden, Mr. Marshall, Mr. McKenzie, Frank Mills, Ollie Wilson	True story of notorious Australian outlaw Ned Kelly (1855-80).	6.1	589	2250	NaN	7.0	7.0
2	tt0001892	Den sorte drøm	Den sorte drøm	1911	1911-08-19	Drama	53	Germany, Denmark	None	Urban Gad	Urban Gad, Gebhard Schätzler-Perasini	Fotorama	Asta Nielsen, Valdemar Psilander, Gunnar Helsengreen, Emil Albes, Hugo Flink, Mary Hagen	Two men of high rank are both wooing the beautiful and famous equestrian acrobat Stella. While Stella ignores the jeweler Hirsch, she accepts Count von Waldberg's offer to follow her home, ...	5.8	188	0	NaN	5.0	2.0
3	tt0002101	Cleopatra	Cleopatra	1912	1912-11-13	Drama, History	100	USA	English	Charles L. Gaskill	Victorien Sardou	Helen Gardner Picture Players	Helen Gardner, Pearl Sindelar, Miss Fielding, Miss Robson, Helene Costello, Charles Sindelar, Mr. Howard, James R. Waite, Mr. Osborne, Harry Knowles, Mr. Paul, Mr. Brady, Mr. Corker	The fabled queen of Egypt's affair with Roman general Marc Antony is ultimately disastrous for both of them.	5.2	446	45000	NaN	25.0	3.0
4	tt0002130	L'Inferno	L'Inferno	1911	1911-03-06	Adventure, Drama, Fantasy	68	Italy	Italian	Francesco Bertolini, Adolfo Padovan	Dante Alighieri	Milano Film	Salvatore Papa, Arturo Pirovano, Giuseppe de Liguoro, Pier Delle Vigne, Augusto Milla, Attilio Motta, Emilise Beretta	Loosely adapted from Dante's Divine Comedy and inspired by the illustrations of Gustav Doré the original silent film has been restored and has a new score by Tangerine Dream.	7.0	2237	0	NaN	31.0	14.0
5	tt0002199	From the Manger to the Cross; or, Jesus of Nazareth	From the Manger to the Cross; or, Jesus of Nazareth	1912	1913	Biography, Drama	60	USA	English	Sidney Olcott	Gene Gauntier	Kalem Company	R. Henderson Bland, Percy Dyer, Gene Gauntier, Alice Hollister, Samuel Morgan, James D. Ainsley, Robert G. Vignola, George Kellog, J.P. McGowan	An account of the life of Jesus Christ, based on the books of the New Testament: After Jesus' birth is foretold to his parents, he is born in Bethlehem, and is visited by shepherds and wise...	5.7	484	0	NaN	13.0	5.0
6	tt0002423	Madame DuBarry	Madame DuBarry	1919	1919-11-26	Biography, Drama, Romance	85	Germany	German	Ernst Lubitsch	Norbert Falk, Hanns Kräly	Projektions-AG Union (PAGU)	Pola Negri, Emil Jannings, Harry Liedtke, Eduard von Winterstein, Reinhold Schünzel, Else Berna, Fred Immler, Gustav Czimeg, Karl Platen, Bernhard Goetzke, Magnus Stifter, Paul Biensfeldt, Willy Kaiser-Heyl, Alexander Ekert, Robert Sortsch-Pla	The story of Madame DuBarry, the mistress of Louis XV of France, and her loves in the time of the French revolution.	6.8	753	0	NaN	12.0	9.0
7	tt0002445	Quo Vadis?	Quo Vadis?	1913	1913-03-01	Drama, History	120	Italy	Italian	Enrico Guazzoni	Henryk Sienkiewicz, Enrico Guazzoni	Società Italiana Cines	Amleto Novelli, Gustavo Serena, Carlo Cattaneo, Amelia Cattaneo, Lea Giunchi, Bruto Castellani, Augusto Mastripietri, Cesare Moltini, Olga Brandini, Ignazio Lupi, Giovanni Gizzi, Lia Orlandini, Matilde Guillaume, Ida Carloni Talli, Giuseppe Gambardella	An epic Italian film "Quo Vadis" influenced many of the later movies.	6.2	273	45000	NaN	7.0	5.0
8	tt0002452	Independenta Romaniei	Independenta Romaniei	1912	1912-09-01	History, War	120	Romania	None	Aristide Demetriade, Grigore Brezeanu	Aristide Demetriade, Petre Liciu	Societatea Filmului de Arta Leon Popescu	Aristide Demetriade, Constanta Demetriade, Constantin Nottara, Pepi Machauer, Aurel Athanasescu, Jeny Metaxa-Doro, Nicolae Soreanu, Vasile Toneanu, Aristita Romanescu, Elvire Popesco, M. Vîrgolici, C. Nedelcovici, Mihail Tancovici-Cosmin, Ion Dumitrescu, Gheorghe Meliseanu	The movie depicts the Romanian War of Independence (1877-1878).	6.7	198	400000	NaN	4.0	1.0
9	tt0002461	Richard III	Richard III	1912	1912-10-15	Drama	55	France, USA	English	André Calmettes, James Keane	James Keane, William Shakespeare	Le Film d'Art	Robert Gemp, Frederick Warde, Albert Gardner, James Keane, George Moss, Howard Stuart, Virginia Rankin, Violet Stuart, Carey Lee, Carlotta De Felice	Richard of Gloucester uses manipulation and murder to gain the English throne.	5.5	225	30000	NaN	8.0	1.0

Last rows

	imdb_title_id	title	original_title	year	date_published	genre	duration	country	language	director	writer	production_company	actors	description	avg_vote	votes	budget	worlwide_gross_income	metascore	reviews_from_users	reviews_from_critics
85845	tt9904250	La reina de los lagartos	La reina de los lagartos	2019	2019-10-05	Fantasy	63	None	Spanish, Catalan	Juan González, Nando Martínez	Juan González, Nando Martínez	Aquí y Allí Films	Javier Botet, Bruna Cusí, Miki Esparbé, Ivan Labanda	A spaceship is about to come to pick up Javi, so him and Berta have to put an end to their summer love.	4.8	103	0	0	NaN	NaN	5.0
85846	tt9904802	Enemy Lines	Enemy Lines	2020	2020-05-04	War	92	UK	English, Polish, Russian, German	Anders Banke	Michael Wright, Tom George	Happy Hour Films	Ed Westwick, John Hannah, Tom Wisdom, Corey Johnson, Pawel Delag, Gary Grant, Daniel Jillings, Scott Haining, Ekaterina Vladimirova, Vladimir Epifantsev, Kirill Pletnyov, Patrik Karlson, Andrey Karako, Jean-Marc Birkholz, Aleksandr Zlatopolskiy	In the frozen, war torn landscape of occupied Poland during World War II, a crack team of allied commandos are sent on a deadly mission behind enemy lines to extract a rocket scientist from the hands of the Nazis.	5.0	764	0	0	NaN	29.0	6.0
85847	tt9905412	Ottam	Ottam	2019	2019-03-08	Drama	120	India	Malayalam	Zam	Rajesh k Narayan	Thomas Thiruvalla Films	Nandu Anand, Roshan Ullas, Manikandan R. Achari, Alencier Ley Lopez, Kalabhavan Shajohn, Rohini, Madhuri Dilip, Althaf, Sudheer Karamana, Thezni Khan, Rajesh Sharma	Set in Trivandrum, the story of Ottam unfolds in a day, and progresses through the lives of two youngsters - Abhi and Vinay. What does destiny have in store for these young men?	7.4	494	4000000	4791	NaN	1.0	NaN
85848	tt9905462	Pengalila	Pengalila	2019	2019-03-08	Drama	111	India	Malayalam	T.V. Chandran	T.V. Chandran	Benzy Productions	Lal, Akshara Kishor, Iniya, Narain, Renji Panicker, Indrans, Priyanka Nair	An unusual bond between a sixty year old Dalit worker Azhagan and an eight year old middle class girl Radha. Within no time their bond grows stronger. However, his proximity to Radha and her mother doesn't go down well with Radha's father.	8.8	553	10000000	0	NaN	NaN	NaN
85849	tt9906644	Manoharam	Manoharam	2019	2019-09-27	Comedy, Drama	122	India	Malayalam	Anvar Sadik	None	chakkalakal Films	Vineeth Sreenivasan, Aparna Das, Basil Joseph, Indrans, Delhi Ganesh, Deepak Parambol, Hareesh Peradi, Nandu, Sreelakshmi, Ahamed Siddique, Nandini Sree, V.K. Prakash, Kalaranjini, Jude Anthany Joseph, Nisthar Sait	Manoharan is a poster artist struggling to find respect for his profession, after the advent of printing technology. He tries hard to get into the mainstream, by picking up design software skills. Will he succeed?	6.8	491	0	0	NaN	9.0	1.0
85850	tt9908390	Le lion	Le lion	2020	2020-01-29	Comedy	95	France, Belgium	French	Ludovic Colbeau-Justin	Alexandre Coquelle, Matthieu Le Naour	Monkey Pack Films	Dany Boon, Philippe Katerine, Anne Serra, Samuel Jouy, Sophie Verbeeck, Carole Brana, Benoît Pétré, Aksel Ustun, Mathieu Lardot, Olivier Sa, Julien Prevost, Antoine Mathieu, David Ban, Stan, Guillaume Clémencin	A psychiatric hospital patient pretends to be crazy. In charge of caring for this patient, a caregiver will begin to doubt the mental state of his "protégé".	5.3	398	0	3507171	NaN	NaN	4.0
85851	tt9911196	De Beentjes van Sint-Hildegard	De Beentjes van Sint-Hildegard	2020	2020-02-13	Comedy, Drama	103	Netherlands	German, Dutch	Johan Nijenhuis	Radek Bajgar, Herman Finkers	Johan Nijenhuis & Co	Herman Finkers, Johanna ter Steege, Leonie ter Braak, Stef Assen, Annie Beumers, Jos Brummelhuis, Reinier Bulder, Daphne Bunskoek, Karlijn Koel, Karlijn Lansink, Marieke Lustenhouwer, Jan Roerink, Ferdi Stofmeel, Aniek Stokkers, Belinda van der Stoep	A middle-aged veterinary surgeon believes his wife pampers him too much. In order to get away from her, he fakes the onset of dementia.	7.7	724	0	7299062	NaN	6.0	4.0
85852	tt9911774	Padmavyuhathile Abhimanyu	Padmavyuhathile Abhimanyu	2019	2019-03-08	Drama	130	India	Malayalam	Vineesh Aaradya	Vineesh Aaradya, Vineesh Aaradya	RMCC Productions	Anoop Chandran, Indrans, Sona Nair, Simon Britto Rodrigues	None	7.9	265	0	0	NaN	NaN	NaN
85853	tt9914286	Sokagin Çocuklari	Sokagin Çocuklari	2019	2019-03-15	Drama, Family	98	Turkey	Turkish	Ahmet Faik Akinci	Ahmet Faik Akinci, Kasim Uçkan	Gizem Ajans	Ahmet Faik Akinci, Belma Mamati, Metin Keçeci, Burhan Sirmabiyik, Orhan Aydin, Tevfik Yapici, Yusuf Eksi, Toygun Ates, Aziz Özuysal, Dilek Ölekli, Arcan Bunial, Seval Hislisoy, Ergül Çolakoglu, Gülçin Ugur, Ibrahim Balaban	None	6.4	194	0	2833	NaN	NaN	NaN
85854	tt9914942	La vida sense la Sara Amat	La vida sense la Sara Amat	2019	2020-02-05	Drama	74	Spain	Catalan	Laura Jou	Coral Cruz, Pep Puig	La Xarxa de Comunicació Local	Maria Morera Colomer, Biel Rossell Pelfort, Isaac Alcayde, Lluís Altés, Joan Amargós, Pepo Blasco, Cesc Casanovas, Oriol Cervera, Pau Escobar, Jordi Figueras, Arés Fuster, Judit Martín, Martí Múrcia, Mariona Pagès, Francesca Piñón	Pep, a 13-year-old boy, is in love with a girl from his grandparents village, Sara Amat. One summer night Sara disappears without a trace. After a few hours, Pep finds her hiding in his room.	6.7	102	0	59794	NaN	NaN	2.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Other Number

Close Punctuation

Open Punctuation

Other Letter

Currency Symbol

Space Separator

Dash Punctuation

Other Symbol

Connector Punctuation

Final Punctuation

Initial Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Currency Symbol

Other Number

Close Punctuation

Open Punctuation

Other Symbol

Other Letter

Space Separator

Dash Punctuation

Connector Punctuation

Initial Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number